Corpus composition research
Kanji Pair Research
Enter one kanji to discover other characters recorded in the same JMnedict name spellings, or enter two kanji to inspect that exact co-occurrence. Every count in this research view describes the imported corpus—not population popularity in Japan.
利
Jōyō · KANJIDIC grade 4 · 7 strokes
沙profit, advantage, benefit
Jōyō · KANJIDIC grade 8 · 7 strokes
Find exact-kanji names →sand
Recorded names
Name readings containing both characters
The pair only has to occur in the same written form; the two kanji are not required to be adjacent unless counted in the adjacency statistics above.
Given name
亜利沙
5 source-recorded spellings in this reading group contain both 利 and 沙Given nameArisa
ありさ
沙夕利
2 source-recorded spellings in this reading group contain both 利 and 沙Given nameSayuri
さゆり
沙緒利
1 source-recorded spelling in this reading group contain both 利 and 沙Given nameSaori
さおり
利沙
1 source-recorded spelling in this reading group contain both 利 and 沙Given nameRisa
りさ
知沙利
1 source-recorded spelling in this reading group contain both 利 and 沙Given nameChisato
ちさと
利沙子
1 source-recorded spelling in this reading group contain both 利 and 沙Given nameRisako
りさこ
恵利沙
1 source-recorded spelling in this reading group contain both 利 and 沙Given nameErisa
えりさ
沙利伊
1 source-recorded spelling in this reading group contain both 利 and 沙Given nameSarī
さりい
沙利華
1 source-recorded spelling in this reading group contain both 利 and 沙Given nameSarika
さりか
沙穂利
1 source-recorded spelling in this reading group contain both 利 and 沙Given nameSahori
さほり
沙美利
1 source-recorded spelling in this reading group contain both 利 and 沙Given nameSamiri
さみり
沙亜利
1 source-recorded spelling in this reading group contain both 利 and 沙Given nameSāri
さあり
衣利沙
1 source-recorded spelling in this reading group contain both 利 and 沙Irisa
いりさ
Evidence boundary
Co-occurrence is not popularity or etymology
The pair relation comes from exact JMnedict source rows through the compact kanji-usage index. KANJIDIC2 contributes character metadata only. A high corpus count can reflect dictionary coverage and should not be read as a national usage frequency.